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ChatGPT is a chatbot and virtual assistant developed by OpenAI and launched on November 30, 2022. Based on large language models (LLMs), it enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. Successive user prompts and replies are considered at each conversation stage as context.
FOSDEM —Free and Open-source Software Developers' European Meeting. FOSI —Formatted Output Specification Instance. FOSS —Free and Open-Source Software. FP —Function Programming. FP —Functional Programming. FPGA —Field Programmable Gate Array. FPS —Floating Point Systems. FPU —Floating-Point Unit. FRU —Field-Replaceable Unit.
Proprietary freeware (some versions were under Apache License 2.0) Google Authenticator is a software-based authenticator by Google. It implements multi-factor authentication services using the time-based one-time password (TOTP; specified in RFC 6238) and HMAC-based one-time password (HOTP; specified in RFC 4226), for authenticating users of ...
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For the application developer, JAAS is a standard library that provides: a representation of identity ( Principal) and a set of credentials ( Subject) a login service that will invoke your application callbacks to ask the user things like username and password. It returns a new Subject. a service that tests if a Subject was granted a permission ...
CAPTCHA. This CAPTCHA ( reCAPTCHA v1) of "smwm" obscures its message from computer interpretation by twisting the letters and adding a slight background color gradient. A CAPTCHA ( / ˈkæp.tʃə / KAP-chə) is a type of challenge–response test used in computing to determine whether the user is human in order to deter bot attacks and spam.
Decreased bloating and gas. If your probiotics are working, you may see reduced bloating and gas, says Gans. Similar to how probiotics can help eliminate GI symptoms through a more diverse gut ...
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] [18] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.